Intelligent Evolution: AI-Powered Feedback Loops in DevOps

DevOps, an amalgamation of "development" and "operations," represents a transformative approach in software engineering, emphasizing collaboration, automation, and iterative improvement across the software development lifecycle (SDLC). Since its inception in the early 2000s, DevOps has become a pivotal methodology for delivering high-quality software efficiently and reliably. By bridging the traditional gap between development and operations teams, DevOps fosters a culture of shared responsibility and continuous enhancement.Building on this foundation, Artificial Intelligence (AI) introduces advanced capabilities like predictive analytics, anomaly detection, and intelligent automation into DevOps processes. These AI-driven continuous feedback loops provide real-time performance insights and facilitate automated optimizations, empowering organizations—including those in the healthcare industry—to achieve faster delivery, improved code quality, and enhanced operational resilience.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-04
DOI
https://doi.org/10.5281/zenodo.14802818
Primary Topic
Milk Quality and Mastitis in Dairy Cows
Type
article
Field-Weighted Citation Impact
0.00
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article

Intelligent Evolution: AI-Powered Feedback Loops in DevOps

Zenodo (CERN European Organization for Nuclear Research)
Milk Quality and Mastitis in Dairy Cows
article

Intelligent Evolution: AI-Powered Feedback Loops in DevOps

article en

Abstract

DevOps, an amalgamation of "development" and "operations," represents a transformative approach in software engineering, emphasizing collaboration, automation, and iterative improvement across the software development lifecycle (SDLC). Since its inception in the early 2000s, DevOps has become a pivotal methodology for delivering high-quality software efficiently and reliably. By bridging the traditional gap between development and operations teams, DevOps fosters a culture of shared responsibility and continuous enhancement.Building on this foundation, Artificial Intelligence (AI) introduces advanced capabilities like predictive analytics, anomaly detection, and intelligent automation into DevOps processes. These AI-driven continuous feedback loops provide real-time performance insights and facilitate automated optimizations, empowering organizations—including those in the healthcare industry—to achieve faster delivery, improved code quality, and enhanced operational resilience.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 46%
Milk Quality and Mastitis in Dairy Cows
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